Skill Introduction

Overview

Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily

Core value

Turns reusable Testing know-how into an installable skill, helping users complete github, community, ai, ai-agent work faster.

Target users

Developers, testers, and maintainers who handle Testing tasks in Focus Code.
Teams that already trust workflows or content from NousResearch.
Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

Read the skill content first to confirm required inputs, expected outputs, and dependencies.
Try it on a small task before relying on it for critical work.
Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

Tasks related to github, community, ai, ai-agent that need a reusable execution flow.
Converting a community repo, team convention, or personal workflow into day-to-day assistance.
Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

Results depend on the quality of the original skill content and may need human correction.
It does not replace code review, tests, security review, or professional judgment.
External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

Structured around Testing, making it easier to discover and reuse than loose prompt snippets.
Marked as GitHub, which helps users judge trust and maintenance expectations.
Keeps the original source link available for repository, documentation, or discussion follow-up.
Tagged with github, community, ai, ai-agent, so it can be filtered by concrete task intent.

Install and use

Install

Copy Install Command

focus install cli-29396a

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SKILL.md

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name: inference-sh-cli description: "Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily" version: 1.0.0 author: okaris license: MIT platforms: [linux, macos, windows] metadata: hermes: tags: [AI, image-generation, video, LLM, search, inference, FLUX, Veo, Claude] related_skills: []

inference.sh CLI

Run 150+ AI apps in the cloud with a simple CLI. No GPU required.

All commands use the terminal tool to run infsh commands.

When to Use

User asks to generate images (FLUX, Reve, Seedream, Grok, Gemini image)
User asks to generate video (Veo, Wan, Seedance, OmniHuman)
User asks about inference.sh or infsh
User wants to run AI apps without managing individual provider APIs
User asks for AI-powered search (Tavily, Exa)
User needs avatar/lipsync generation

Prerequisites

The infsh CLI must be installed and authenticated. Check with:

infsh me

If not installed:

curl -fsSL https://cli.inference.sh | sh
infsh login

See references/authentication.md for full setup details.

Workflow

1. Always Search First

Never guess app names — always search to find the correct app ID:

infsh app list --search flux
infsh app list --search video
infsh app list --search image

2. Run an App

Use the exact app ID from the search results. Always use --json for machine-readable output:

infsh app run <app-id> --input '{"prompt": "your prompt here"}' --json

3. Parse the Output

The JSON output contains URLs to generated media. Present these to the user with MEDIA:<url> for inline display.

Common Commands

Image Generation

# Search for image apps
infsh app list --search image

# FLUX Dev with LoRA
infsh app run falai/flux-dev-lora --input '{"prompt": "sunset over mountains", "num_images": 1}' --json

# Gemini image generation
infsh app run google/gemini-2-5-flash-image --input '{"prompt": "futuristic city", "num_images": 1}' --json

# Seedream (ByteDance)
infsh app run bytedance/seedream-5-lite --input '{"prompt": "nature scene"}' --json

# Grok Imagine (xAI)
infsh app run xai/grok-imagine-image --input '{"prompt": "abstract art"}' --json

Video Generation

# Search for video apps
infsh app list --search video

# Veo 3.1 (Google)
infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot of coastline"}' --json

# Seedance (ByteDance)
infsh app run bytedance/seedance-1-5-pro --input '{"prompt": "dancing figure", "resolution": "1080p"}' --json

# Wan 2.5
infsh app run falai/wan-2-5 --input '{"prompt": "person walking through city"}' --json

Local File Uploads

The CLI automatically uploads local files when you provide a path:

# Upscale a local image
infsh app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}' --json

# Image-to-video from local file
infsh app run falai/wan-2-5-i2v --input '{"image": "/path/to/image.png", "prompt": "make it move"}' --json

# Avatar with audio
infsh app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/audio.mp3", "image": "/path/to/face.jpg"}' --json

Search & Research

infsh app list --search search
infsh app run tavily/tavily-search --input '{"query": "latest AI news"}' --json
infsh app run exa/exa-search --input '{"query": "machine learning papers"}' --json

Other Categories

# 3D generation
infsh app list --search 3d

# Audio / TTS
infsh app list --search tts

# Twitter/X automation
infsh app list --search twitter

Pitfalls

Never guess app IDs — always run infsh app list --search <term> first. App IDs change and new apps are added frequently.
Always use --json — raw output is hard to parse. The --json flag gives structured output with URLs.
Check authentication — if commands fail with auth errors, run infsh login or verify INFSH_API_KEY is set.
Long-running apps — video generation can take 30-120 seconds. The terminal tool timeout should be sufficient, but warn the user it may take a moment.
Input format — the --input flag takes a JSON string. Make sure to properly escape quotes.

Reference Docs

references/authentication.md — Setup, login, API keys
references/app-discovery.md — Searching and browsing the app catalog
references/running-apps.md — Running apps, input formats, output handling
references/cli-reference.md — Complete CLI command reference

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